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KDD
2008
ACM
137views Data Mining» more  KDD 2008»
14 years 7 months ago
Learning classifiers from only positive and unlabeled data
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
Charles Elkan, Keith Noto
NCA
2003
IEEE
14 years 20 days ago
Web Proxy Cache Replacement: Do's, Don'ts, and Expectations
Numerous research efforts have produced a large number of algorithms and mechanisms for web proxy caches. In order to build powerful web proxies and understand their performance, ...
Peter Triantafillou, Ioannis Aekaterinidis
TVLSI
2008
150views more  TVLSI 2008»
13 years 6 months ago
Data Memory Subsystem Resilient to Process Variations
As technology scales, more sophisticated fabrication processes cause variations in many different parameters in the device. These variations could severely affect the performance o...
M. Bennaser, Yao Guo, Csaba Andras Moritz
EUROPAR
2006
Springer
13 years 11 months ago
Context Awareness: An Experiment with Hoarding
Abstract. Computer mobility allows people to use computers in varied and changing environments. This variability forces applications to adapt thus requiring awareness of the comput...
João Garcia, Luís Veiga, Paulo Ferre...
CIKM
2008
Springer
13 years 9 months ago
Intra-document structural frequency features for semi-supervised domain adaptation
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Andrew Arnold, William W. Cohen